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Type 'q()' to quit R. > x <- c(121.67,121.65,121.61,121.5,121.41,121.41,121.4,121.38,121.34,121.19,120.96,120.96,120.96,120.9,120.86,120.73,120.53,120.53,120.53,120.52,120.51,120.43,120.29,120.27,120.27,120.24,120.21,120.06,119.86,119.85,119.85,119.83,119.71,119.57,119.2,119.13,119.13,119.09,118.9,118.54,118.12,118.11,118.1,118.08,117.91,117.63,117.28,117.2,117.17,117.14,116.96,116.34,115.99,115.99,115.97,115.92,115.63,115.31,115.13,115.09,115.07,115.01,114.64,113.86,113.34,113.33,113.32,113.26,113.2,112.61,112.28,112.16) > par1 = '750' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > if (par1 < 10) par1 = 10 > if (par1 > 5000) par1 = 5000 > library(lattice) > library(boot) Attaching package: 'boot' The following object(s) are masked from package:lattice : melanoma Warning message: package 'boot' was built under R version 2.8.1 and help may not work correctly > boot.stat <- function(s,i) + { + s.mean <- mean(s[i]) + s.median <- median(s[i]) + s.midrange <- (max(s[i]) + min(s[i])) / 2 + c(s.mean, s.median, s.midrange) + } > (r <- boot(x,boot.stat, R=par1, stype='i')) ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = x, statistic = boot.stat, R = par1, stype = "i") Bootstrap Statistics : original bias std. error t1* 118.2518 0.009288889 0.3364203 t2* 119.1300 -0.061573333 0.6212775 t3* 116.9150 0.055986667 0.1292702 > postscript(file="/var/www/rcomp/tmp/13uss1273315749.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean') > grid() > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/2e4ad1273315749.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median') > grid() > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/3e4ad1273315749.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange') > grid() > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/4e4ad1273315749.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean') > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/5e4ad1273315749.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median') > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/6pvry1273315749.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~r$t[,3],col='black',main='Density Plot',xlab='midrange') > dev.off() null device 1 > z <- data.frame(cbind(r$t[,1],r$t[,2],r$t[,3])) > colnames(z) <- list('mean','median','midrange') > postscript(file="/var/www/rcomp/tmp/7pvry1273315749.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency') Warning message: In bxp(list(stats = c(117.354583333333, 118.028333333333, 118.244513888889, : some notches went outside hinges ('box'): maybe set notch=FALSE > grid() > dev.off() null device 1 > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Estimation Results of Bootstrap',6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'statistic',header=TRUE) > a<-table.element(a,'Q1',header=TRUE) > a<-table.element(a,'Estimate',header=TRUE) > a<-table.element(a,'Q3',header=TRUE) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,'IQR',header=TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'mean',header=TRUE) > q1 <- quantile(r$t[,1],0.25)[[1]] > q3 <- quantile(r$t[,1],0.75)[[1]] > a<-table.element(a,q1) > a<-table.element(a,r$t0[1]) > a<-table.element(a,q3) > a<-table.element(a,sqrt(var(r$t[,1]))) > a<-table.element(a,q3-q1) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'median',header=TRUE) > q1 <- quantile(r$t[,2],0.25)[[1]] > q3 <- quantile(r$t[,2],0.75)[[1]] > a<-table.element(a,q1) > a<-table.element(a,r$t0[2]) > a<-table.element(a,q3) > a<-table.element(a,sqrt(var(r$t[,2]))) > a<-table.element(a,q3-q1) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'midrange',header=TRUE) > q1 <- quantile(r$t[,3],0.25)[[1]] > q3 <- quantile(r$t[,3],0.75)[[1]] > a<-table.element(a,q1) > a<-table.element(a,r$t0[3]) > a<-table.element(a,q3) > a<-table.element(a,sqrt(var(r$t[,3]))) > a<-table.element(a,q3-q1) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/rcomp/tmp/8dwoa1273315749.tab") > > try(system("convert tmp/13uss1273315749.ps tmp/13uss1273315749.png",intern=TRUE)) character(0) > try(system("convert tmp/2e4ad1273315749.ps tmp/2e4ad1273315749.png",intern=TRUE)) character(0) > try(system("convert tmp/3e4ad1273315749.ps tmp/3e4ad1273315749.png",intern=TRUE)) character(0) > try(system("convert tmp/4e4ad1273315749.ps tmp/4e4ad1273315749.png",intern=TRUE)) character(0) > try(system("convert tmp/5e4ad1273315749.ps tmp/5e4ad1273315749.png",intern=TRUE)) character(0) > try(system("convert tmp/6pvry1273315749.ps tmp/6pvry1273315749.png",intern=TRUE)) character(0) > try(system("convert tmp/7pvry1273315749.ps tmp/7pvry1273315749.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.540 1.940 3.789